IONOSPHEREIC ANOMALY DETECTION OF Mw9.0 JAPAN EARTHQUAKE BY USING GPS OBSERVATION DATA
Li Shijia;Cai Changsheng ;and Fu Kaibin
Department of Geomatics Engineering,Central South University,Changsha 410083
Abstract By use of the data from three IGS stations located in the area of \%M\%w9.0 Japanese earthquake, the total ionospheric electronic content (TEC) values in four days before and after the earthquake were obtained.There was an explicit ionospheric disturbance phenomenon on that day by analyzing and comparing the computational results. The TEC disturbance phenomenon can be found from different satellite data, which become insignificant with increased distance between the stations and epicenter. A fourday average TEC values before and after the earthquake are computed. The results indicate a significant increase of mean TEC for a few hours after the earthquake.
Key words ：
earthquake
ionosphere
TEC
ionospheric disturbance
GPS
Received: 01 January 1900
Corresponding Authors:
Li Shijia
Cite this article:
Li Shijia,Cai Changsheng,and Fu Kaibin. IONOSPHEREIC ANOMALY DETECTION OF Mw9.0 JAPAN EARTHQUAKE BY USING GPS OBSERVATION DATA[J]. , 2012, 32(3): 36-40.
Li Shijia,Cai Changsheng,and Fu Kaibin. IONOSPHEREIC ANOMALY DETECTION OF Mw9.0 JAPAN EARTHQUAKE BY USING GPS OBSERVATION DATA[J]. jgg, 2012, 32(3): 36-40.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2012/V32/I3/36
[1]
GAO Meng,WANG Shunshun,WANG Cao,ZHU Huizhong,XU Aigong. Research on the Algorithm of Triple-Frequency BDS RTK between Middle-Range Baseline
[2]
ZHANG Kexin,TIAN Chongrui,JIAO Jian,ZENG Qiming. Research on Smoothing in InSAR Ionospheric Correction
[3]
LIANG Shichuan,QU Wei,CHEN Hailu,GAO Yuan,LI Jiuyuan,LI Da. Source Parameter Inversion and Seismogenic Tectonic of the Nyima MW 6.3 Earthquake in Tibet on July 23, 2020 Based on InSAR
[4]
LI Xiaohan,ZHENG Jianchang. Study on the Characteristics of Small Earthquake Clustering in Jiaodong Peninsula Area
[5]
WEI Jin,Lü Pinji,HAO Hongtao,WANG Jianwei,LI Ning,HU Minzhang. Study on the Anomalies of the Double Frequency Microseisms before Yingcheng MS 4.9 Earthquake
[6]
ONG Qi,GAO Ertao,YU Hangming,LAN Yanping. Research on the Sensitivity of Deep Slip Inversion for Earthquake Fault Slip Constrained by InSAR and GPS Geodetic Deformation Data
[7]
XIE Xinglong,REN Zhengwei,YE Zhennan,WANG Gaofeng,LI Qiuchen,MA Xuemei. Shallow Geophysical Exploration and New Understanding of Lixian-Luojiabu Fault Zone
[8]
YUAN Weina,SHI Fuqiang,WU Jing. Cumulated Stress Changes and Its Implications for Current Seismic Activities in North China
[9]
LI Zhongya,HU Minzhang,HAO Hongtao,LI Hui. Resesrch on Gravity Field Variations Relative to 2017 Jiuzhaigou MS 7.0 Earthquake Based on Spherical Harmonic Analysis Method
[10]
ZHOU Yang. Seismic Data Prediction Based on Regression Model of Nuclear Mixed Effects
[11]
BO Wanju,ZHENG Zhijiang,WU Yanqiang,ZHANG Licheng,ZHANG Shuangxi,WANG Tongqing,CHANG Liu. Study on the Relationship between GNSS Vertical Deformation and Precision Leveling Vertical Deformation——Take the Tianshan Tectonic Belt as an Example
[12]
TANG Jun,LI Yinjian,ZHONG Zhengyu,GAO Xin. Prediction Model of Ionospheric TEC by EOF and LSTM Neural Network
[13]
YANG Qiulian,ZHAO Zhen,HU Zhigang. Analysis of SBAS B1c Grid Ionospheric Algorithm Correction for BDS-3
[14]
WANG Xiaolei,NIU Zijin,HE Xiufeng. Precipitation Analysis and Judgment Based on GPS Water Vapor Retrieval and GPS-IR
[15]
HUANG Xiaomei，CHEN Qiang，ZHANG Yijun，YANG Yinghui，JIN Xin，JIANG Ziqin. Analysis of the July 2019 Ridgecrest Earthquake and Aftershocks Using Double-Difference Relocation
